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      Ford Motor Company

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      Data Engineer Interview

      Aug 29, 2025
      Anonymous employee
      Accepted offer
      Positive experience
      Difficult interview

      Application

      I interviewed at Ford Motor Company

      Interview

      The Ford interview process typically involves 1–2 technical rounds focusing on SQL, data modeling, and designing scalable cloud pipelines using AWS/Azure, followed by a behavioral round that assesses collaboration, problem-solving, communication skills, and handling real-world data engineering challenges effectively.

      Interview questions [1]

      Question 1

      They use this to dive deeper into your understanding of AWS/Azure tools, data modeling, and how you troubleshoot real-world issues.
      Answer question

      Other Data Engineer Interview Reviews for Ford Motor Company

      Data Engineer Interview

      Jan 11, 2026
      Anonymous Interview Candidate
      Dearborn, MI
      No offer
      Negative experience
      Average interview

      Application

      I interviewed at Ford Motor Company (Dearborn, MI)

      Interview

      Terrible, One interview with three people - one came half way through the interview without any explanation so it seemed they just took a long lunch and maybe forgot. They didn't really sell the position very well and what they were looking for in an ideal candidate.

      Interview questions [1]

      Question 1

      Asked me leet code questions
      Answer question

      Data Engineer Interview

      Apr 24, 2025
      Anonymous Interview Candidate
      Dearborn, MI
      No offer
      Negative experience
      Average interview

      Application

      I interviewed at Ford Motor Company (Dearborn, MI)

      Interview

      Interviewed for Quality team. Technical exam first, followed by a technical interview. Final interview was meeting with manager. It was horrible because he division seems to be under intense stress due to lots of warranty claims

      Interview questions [1]

      Question 1

      Data Engineering concepts, specifically Google Cloud (ex: how to use partitioning & clustering)
      Answer question

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